Triple

T17911717
Position Surface form Disambiguated ID Type / Status
Subject Harvey Birdman, Attorney at Law E447831 entity
Predicate featuresCharacter P626 FINISHED
Object Avenger NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Avenger | Statement: [Harvey Birdman, Attorney at Law, featuresCharacter, Avenger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avenger
Context triple: [Harvey Birdman, Attorney at Law, featuresCharacter, Avenger]
  • A. Avenger chosen
    Avenger is a thriller novel by Frederick Forsyth that follows a former Vietnam War veteran turned vigilante tracker hired to bring a war criminal to justice.
  • B. The Avenger
    The Avenger is a film featuring British actress Anne Heywood in a prominent role.
  • C. Revengers
    The Revengers are an improvised superhero team in the Marvel Cinematic Universe, formed by Thor and his allies to escape Sakaar and confront Hela on Asgard.
  • D. Avengers Unity Division
    The Avengers Unity Division is a Marvel Comics superhero team that unites members of the Avengers and the X-Men to promote cooperation between humans and mutants.
  • E. Avengers
    The Avengers are a team of Marvel Comics superheroes who unite to combat powerful threats that no single hero can withstand alone.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49ea0ea008190b54a999e0704fb67 completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.